1180 search results - page 1 / 236 » An Instance Selection Approach to Multiple Instance Learning |
CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
ISDA
2010
IEEE
13 years 9 months ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
PAMI
2006
13 years 11 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
AUSAI
2008
Springer
14 years 1 months ago
2008
Springer
Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learne...
PAMI
2011
13 years 6 months ago
2011